Call For Papers

The 11th Pacific Visualization Symposium (PacificVis 2018) will be held
in Kobe, Japan during April 10 to 13, 2018. Visualization has become an
increasingly important research area due to its wide range of
applications in many disciplines. PacificVis conference series has been
an IEEE sponsored international visualization symposium held in the
Asia-Pacific region. Its objective to foster greater exchange between
visualization researchers and practitioners, and to draw more
researchers in the Asia-Pacific region to enter this rapidly growing
area of research.

PacificVis is a unified visualization symposium, welcoming all areas of
visualization research such as: information visualization, scientific
visualization, graph and network visualization, visual analytics, and
specific applications such as (but not limited to) security-, software-
and bio-visualization. Authors are invited to submit original and
unpublished research and application papers in all areas of
visualization. We encourage papers in any new, novel, and exciting
research area that pertains to visualization.

All submitted papers will go through a two-stage review process to
guarantee the publication of high-quality papers. Selected papers from
PacificVis 2016 and 2017 were published in IEEE Transactions on
Visualization & Computer Graphics (TVCG).

Original unpublished papers of up to ten (10) pages (two-column,
single-spaced, 9 point font, including figures, tables and references)
are invited. Manuscripts must be written in English, and follow the
formatting guidelines. Reviewing will be double blind, please remove all
author and affiliation information from submissions and supplemental
files. Please substitute your paper's ID number for the author name.
Papers should be submitted electronically in Adobe PDF format. Please
provide supplemental videos in QuickTime MPEG-4 or DivX version 5, and
use TIFF, JPEG, or PNG for supplemental images.

Note: Submission system and formatting guidelines are under
construction. Their information will be shown here.

A VIS paper typically falls into one of five categories: technique,
system, design study, evaluation, or model. We briefly discuss these
categories below. Although your main paper type has to be specified
during the paper submission process, papers can include elements of more
than one of these categories. Please see "Process and Pitfalls in
Writing Information Visualization Research Papers" by Tamara Munzner for
more detailed discussion on how to write a successful VIS paper.

TECHNIQUE PAPERS introduce novel techniques or algorithms that have not
previously appeared in the literature, or that significantly extend
known techniques or algorithms, for example by scaling to datasets of
much larger size than before or by generalizing a technique to a larger
class of uses. The technique or algorithm description provided in the
paper should be complete enough that a competent graduate student in
visualization could implement the work, and the authors should create a
prototype implementation of the methods. Relevant previous work must be
referenced, and the advantage of the new methods over it should be
clearly demonstrated. There should be a discussion of the tasks and
datasets for which this new method is appropriate, and its limitations.
Evaluation through informal or formal user studies, or other methods,
will often serve to strengthen the paper, but are not mandatory.

SYSTEM PAPERS present a blend of algorithms, technical requirements,
user requirements, and design that solves a major problem. The system
that is described is both novel and important, and has been implemented.
The rationale for significant design decisions is provided, and the
system is compared to documented, best-of-breed systems already in use.
The comparison includes specific discussion of how the described system
differs from and is, in some significant respects, superior to those
systems. For example, the described system may offer substantial
advancements in the performance or usability of visualization systems,
or novel capabilities. Every effort should be made to eliminate external
factors (such as advances in processor performance, memory sizes or
operating system features) that would affect this comparison. For
further suggestions, please review "How (and How Not) to Write a Good
Systems Paper" by Roy Levin and David Redell, and "Empirical Methods in
CS and AI" by Toby Walsh.

APPLICATION / DESIGN STUDY PAPERS explore the choices made when applying
visualization and visual analytics techniques in an application area,
for example relating the visual encodings and interaction techniques to
the requirements of the target task. Similarly, Application papers have
been the norm when researchers describe the use of visualization
techniques to glean insights from problems in engineering and science.
Although a significant amount of application domain background
information can be useful to provide a framing context in which to
discuss the specifics of the target task, the primary focus of the case
study must be the visualization content. The results of the Application
/ Design Study, including insights generated in the application domain,
should be clearly conveyed. Describing new techniques and algorithms
developed to solve the target problem will strengthen a design study
paper, but the requirements for novelty are less stringent than in a
Technique paper. Where necessary, the identification of the underlying
parametric space and its efficient search must be aptly described. The
work will be judged by the design lessons learned or insights gleaned,
on which future contributors can build. We invite submissions on any
application area.

EVALUATION PAPERS explore the usage of visualization and visual
analytics by human users, and typically present an empirical study of
visualization techniques or systems. Authors are not necessarily
expected to implement the systems used in these studies themselves; the
research contribution will be judged on the validity and importance of
the experimental results as opposed to the novelty of the systems or
techniques under study. The conference committee appreciates the
difficulty and importance of designing and performing rigorous
experiments, including the definition of appropriate hypotheses, tasks,
data sets, selection of subjects, measurement, validation and
conclusions. The goal of such efforts should be to move from mere
description of experiments, toward prediction and explanation. We do
suggest that potential authors who have not had formal training in the
design of experiments involving human subjects may wish to partner with
a colleague from an area such as psychology or human-computer
interaction who has experience with designing rigorous experimental
protocols and statistical analysis of the resulting data. Other novel
forms of evaluation are also encouraged.

THEORY/MODEL PAPERS present new interpretations of the foundational
theory of visualization and visual analytics. Implementations are
usually not relevant for papers in this category. Papers should focus on
basic advancement in our understanding of how visualization techniques
complement and exploit properties of human vision and cognition.